SEC Form N-1A is essential for registering open-end mutual funds and ETFs, detailing investment objectives, fees, and ...

Abstract: Principal Component Analysis (PCA) aims to acquire the principal component space containing the essential structure of data, instead of being used for mining and extracting the essential ...

Faced with a complex regulatory landscape and intense public and investor scrutiny, financial institutions could use an ...

Listen and subscribe to Morningstar’s The Long View from your mobile device: Apple Podcasts | Spotify Today on the podcast we ...

QDTE's daily covered call strategy on Nasdaq 100 delivers high yields and income, but requires caution due to payout ...

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...

For Erik Lathen, the principal of Illinois Valley High School in Cave Junction, Ore., gratitude isn’t something to be celebrated only on Thanksgiving. During his nine-year tenure as a high school ...

The principal of a Chicago elementary school that employs a teacher who appeared to mock the assassination of Charlie Kirk apparently portrayed the educator as a victim amid backlash over her behavior ...

Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...

Background: The high-quality development of the traditional Chinese medicine (TCM) industry is dependent on supportive policies and requires higher levels of coordination and integration. National and ...